Does UML modeling associate with lower defect proneness?: a preliminary empirical investigation

Adithya Raghuraman; Truong Ho-Quang; Michel R.V. Chaudron; Alexander Serebrenik; Bogdan Vasilescu

doi:10.1109/MSR.2019.00024

Does UML modeling associate with lower defect proneness? a preliminary empirical investigation

Adithya Raghuraman, Truong Ho-Quang, Michel R.V. Chaudron, Alexander Serebrenik, Bogdan Vasilescu

Software Engineering and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

189 Downloads (Pure)

Abstract

The benefits of modeling the design to improve the quality and maintainability of software systems have long been advocated and recognized. Yet, the empirical evidence on this remains scarce. In this paper, we fill this gap by reporting on an empirical study of the relationship between UML modeling and software defect proneness in a large sample of open-source GitHub projects. Using statistical modeling, and controlling for confounding variables, we show that projects containing traces of UML models in their repositories experience, on average, a statistically minorly different number of software defects (as mined from their issue trackers) than projects without traces of UML models.

Original language	English
Title of host publication	Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019)
Place of Publication	Piscataway
Publisher	IEEE Computer Society
Pages	101-104
Number of pages	4
ISBN (Electronic)	978-1-7281-3412-3
DOIs	https://doi.org/10.1109/MSR.2019.00024
Publication status	Published - 1 May 2019
Event	16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019 - Montreal, Canada Duration: 26 May 2019 → 27 May 2019

Conference

Conference	16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019
Country/Territory	Canada
City	Montreal
Period	26/05/19 → 27/05/19

Keywords

Open-source-software
Software design
Software quality
UML

Access to Document

10.1109/MSR.2019.00024

Authors versionFinal author version , 159 KB

Cite this

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title = "Does UML modeling associate with lower defect proneness?: a preliminary empirical investigation",

abstract = "The benefits of modeling the design to improve the quality and maintainability of software systems have long been advocated and recognized. Yet, the empirical evidence on this remains scarce. In this paper, we fill this gap by reporting on an empirical study of the relationship between UML modeling and software defect proneness in a large sample of open-source GitHub projects. Using statistical modeling, and controlling for confounding variables, we show that projects containing traces of UML models in their repositories experience, on average, a statistically minorly different number of software defects (as mined from their issue trackers) than projects without traces of UML models.",

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Raghuraman, A, Ho-Quang, T, Chaudron, MRV , Serebrenik, A & Vasilescu, B 2019, Does UML modeling associate with lower defect proneness? a preliminary empirical investigation. in Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019)., 8816762, IEEE Computer Society, Piscataway, pp. 101-104, 16th IEEE/ACM International Conference on Mining Software Repositories, MSR 2019, Montreal, Canada, 26/05/19. https://doi.org/10.1109/MSR.2019.00024

Does UML modeling associate with lower defect proneness? a preliminary empirical investigation. / Raghuraman, Adithya; Ho-Quang, Truong; Chaudron, Michel R.V. et al.

Proceedings of the 16th International Conference on Mining Software Repositories (MSR 2019). Piscataway : IEEE Computer Society, 2019. p. 101-104 8816762.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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